Information Security Architect - AI

Overview

An AI Security Architect is responsible for designing and implementing robust security frameworks for AI systems, ensuring their protection against adversarial attacks, data breaches, and ethical issues. This role involves developing secure deployment strategies for AI models, particularly focusing on generative AI's unique risks, such as content generation and privacy concerns. They work closely with data scientists and engineers to integrate security measures throughout the AI lifecycle, from development to deployment. Additionally, the AI Security Architect ensures compliance with regulatory standards and promotes ethical AI use, maintaining the integrity and trustworthiness of AI solutions.

Responsibilities

• Lead AI working groups to design cybersecurity processes that enhance the enterprise’s ability to develop and implement secure AI solutions, aligning with business, technological, and threat considerations.

• Work with AI architects and developers to integrate security practices into the AI development lifecycle.

• Develop and implement data protection and AI security strategies to ensure the confidentiality, integrity, and availability of our data and AI systems throughout their lifecycle.

• Design and implement security solutions and controls tailored to the unique challenges of AI and ML applications.

• Conduct threat modeling exercises to identify potential security risks and vulnerabilities in AI systems, working closely with AI development teams to integrate security into the design and development processes.

• Monitor and analyze data protection and AI security metrics to identify areas for improvement and drive continuous enhancement of our processes and procedures.

• Utilize advanced testing methodologies and tools, such as adversarial testing, penetration testing, and vulnerability scanning, to assess the resilience and security posture of AI solutions against emerging threats and attack vectors.

• Lead investigations into security incidents and provide recommendations for preventive measures.

• Lead internal efforts to incorporate AI capabilities within the security organizations to enhance existing capabilities of security platforms and processes.

• Ensure AI systems comply with relevant national and state data protection and privacy laws.

• Apply security standards and frameworks, such as HITRUST and NIST to AI projects.

• Stay current on the latest data protection and AI security best practices and regulations, and proactively make recommendations for improvement.

• Collaborate with cross-functional teams to ensure data protection and AI security measures are integrated into all aspects of our AI systems and processes. Provide guidance and support to project teams to ensure that data protection and AI security requirements are met throughout the project lifecycle.

• Complete all responsibilities as outlined in the annual performance review and/or goal setting.

• Complete all special projects and other duties as assigned.

• Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.

Qualifications

• Bachelor’s degree in computer science, Cybersecurity, Data Science, or related experience / equivalent experience.

• Minimum of 12 years of experience in Cybersecurity domains including application security, security architecture, network security, and data protection.

• Strong knowledge of AI technologies and governance principles and their inherent security risks, machine learning models, adversarial attacks, and data privacy regulations.

• Excellent analytical skills to identify and address security vulnerabilities in AI systems

• Excellent communication and leadership skills to work across diverse teams.

• Relevant certifications like CISSP, CISM, CRISC, or AI ethics/security credentials are a plus.

• We are looking for a driven individual with a deep understanding of data protection and AI security best practices, as well as a strong background in cybersecurity

Mental Requirements:

• Communicating with others to exchange information.

• Problem-solving and thinking critically.

• Works independently with little supervision.

• Ability to lead projects with little guidance

• Interpreting data.

• Making timely decisions in the context of a workflow.

• Maintaining focus.

• Remembering and adhering to processes and protocols.

• Applying established protocols in a timely manner.

Physical Requirements and Working Conditions:

• Remaining in a stationary position, often standing or sitting for prolonged periods.

• Repeating motions that may include the wrists, hands and/or fingers.

• Must be able to provide high-speed internet access / connectivity and office setup and maintenance.

• Must be able to provide a dedicated, secure work area.

Base compensation ranges from $170,000 to $212,000. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

Since this job will be based remotely, all interviews will be conducted virtually.

Date of posting: 10/8/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 1/8/2027, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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